Climate-induced potential productivity of forest vegetation during the past 308 years in northern Da Hinggan Mountain region, China

Huiying, 赵慧颖 Zhao; Baoxing, 田宝星 Tian; Lijuan, 宫丽娟 Gong; Huihui, 曲辉辉 Qu; Shengtai, 季生太 Ji; Xiufen, 李秀芬 Li; Xinglin, 张兴林 Zhang

doi:10.5846/stxb201510312200

Cited by 5 publications

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“…In this study, the Thornthwaite Memorial model was selected to calculate the potential productivity. The climate factors considered in the Thornthwaite Memorial model are relatively simple and can better reflect the key factors affecting plant growth and development, such as temperature, precipitation, and evapotranspiration [7,14,21]. This model provides a more accurate estimate of CPP, which is calculated as follows [22]: 20) (2)…”

Section: Thornthwaite Memorial Modelmentioning

confidence: 99%

“…Climate potential productivity (CPP) refers to the highest possible biological or agricultural yield per unit area when soil and nutrient conditions are optimal and climatic resources such as temperature and precipitation are fully and rationally utilized [5][6][7][8][9][10]. CPP is an important indicator for the scientific evaluation of regional food production capacity and can reflect the support of crop production by climatic resources in different regions [11].…”

Section: Introductionmentioning

confidence: 99%

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Spatio-Temporal Variation Characteristics of North Africa’s Climate Potential Productivity

Bi,

Wan,

Zhang

et al. 2023

Land

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Africa is becoming one of the most sensitive and vulnerable regions of the global ecosystem due to its variable climate, complex topography, and diversity of natural ecosystems. In the context of global warming, climate change not only alters the spatial distribution of temperature and precipitation in North Africa, but also affects the spatial distribution of vegetation as well as the structure and function of ecosystems, causing changes in the North African ecosystem and inducing a series of food security problems. In this regard, this paper analyzed the spatio-temporal distribution of climate change, climate production potential (CPP), and influencing factors in Africa based on meteorological data for 1901–2019, using the Thornthwaite Memorial model, Mann–Kendall mutation test, and Pearson correlation model. The results indicated that from 1901 to 2019, the CPP in North Africa decreased by 4.9%, while the region’s precipitation experienced a decline of 5.2%. The phased trend in CPP was consistent with the change in precipitation. Temperature and precipitation were the main limiting factors for CPP in North Africa, with precipitation being more limiting. In general, North Africa’s CPP was more sensitive to precipitation, and a continued ‘warm and dry’ climate in the future could lead to an increasing downward trend.

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Section: Thornthwaite Memorial Modelmentioning

confidence: 99%